25% off yearly Pro

Say hi to your new dashboard. 25% off yearly Pro with

Feng Xia

RMIT University

Research Interests

Epidemiology

Computational Neuroscience

Network Analysis

Machine Learning

Graphical Models

Anomaly Detection

Text Analytics

Ask ApplyKite AI

Start chatting

How can you help me contact this professor?

What are this professor's research interests?

How should I write an email to this professor?

Positions(1)

RMIT University

24 years ago

Brain Computing

No summary provided for this position.

24 years ago

Articles(21)

Collaborators(5)

Mehdi Naseriparsa

Federation University

Vidya Saikrishna

Scholarly Teaching Fellow

Federation University

Lianhua Chi

La Trobe University

Guansong Pang

Ivan Lee

University of South Australia

Feng Xia

Brain Computing

Unsupervised Anomaly Detection on Attributed Networks With Graph Contrastive Learning for Consumer Electronics Security

Attributed Graph Force Learning

Heterogeneous Network Motif Coding, Counting, and Profiling

Multiple Instance Learning for Cheating Detection and Localization in Online Examinations

Z-Laplacian Matrix Factorization: Network Embedding With Interpretable Graph Signals

Multitask Data Collection With Limited Budget in Edge-Assisted Mobile Crowdsensing

Efficient Throughput Maximization in Dynamic Rechargeable Networks

From Electroencephalogram Data to Brain Networks: Graph-Learning-Based Brain Disease Diagnosis

PANDORA: Deep Graph Learning Based COVID-19 Infection Risk Level Forecasting

Efficiently Identifying Unknown COTS RFID Tags for Intelligent Transportation Systems

Coupled Attention Networks for Multivariate Time Series Anomaly Detection

Exploring Public Sentiment During COVID-19: A Cross Country Analysis

Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges

MIRROR: Mining Implicit Relationships via Structure-Enhanced Graph Convolutional Networks

TAP: Traffic Accident Profiling via Multi-Task Spatio-Temporal Graph Representation Learning

MSCET: A Multi-Scenario Offloading Schedule for Biomedical Data Processing and Analysis in Cloud-Edge-Terminal Collaborative Vehicular Networks

The Effect of Facial Perception and Academic Performance on Social Centrality

Spatio-temporal Graph Learning for Epidemic Prediction

Knowledge Graphs: Opportunities and Challenges

Deep Anomaly Analytics: Advancing the Frontier of Anomaly Detection

Graph Lifelong Learning: A Survey

Mehdi Naseriparsa

Vidya Saikrishna

Lianhua Chi

Guansong Pang

Ivan Lee